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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 17889
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    INDEX
    Explanations

    mentions of the country "France"

    oai_token-act-pair · gpt-3.5-turbo

    references to France and related entities or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iary
    -0.92
    iated
    -0.87
    Wan
    -0.80
    antha
    -0.80
    ramid
    -0.78
    ript
    -0.78
    iating
    -0.78
    iates
    -0.78
    ication
    -0.76
    iations
    -0.76
    POSITIVE LOGITS
     Hollande
    1.10
     fries
    1.10
    bourg
    0.99
     franc
    0.92
    ois
    0.87
     Alps
    0.86
     Macron
    0.86
     Marse
    0.83
     Franc
    0.81
    men
    0.81
    Activations Density 0.042%

    No Known Activations